Week 11 - Lecture Demo: Remote Sensing - Preparation for Image Classification

Week 10 submission review:

Week 11 assignment review:

Assignment 11 Steps

Part I - Remote Sensing Overview

  • Structure of Multi-Band Imagery:

Electromagnetic Specturm

Image Composite

Landsat 8 Bands

  • Common Band Combinations:

Landsat 8 Band Combinations

  • Classification Methods - supervised:

Supervised Method

Part IV - composite multi-spectral bands:

  • Demo Data - Landsat 8 + QGIS Project

    • ID: LC08_L2SP_012031_20210321_20210401_02_T1
    • Date Acquired: 2021/03/21
    • Path: 012
    • Row: 031

  • The results of the 7/6/4 combination in the greater Boston region:

7/6/4 Band Combination for Boston Region, MA

The short-wave infrared band combination uses SWIR-2 (7), SWIR-1 (6), and red (4). This composite displays vegetation in shades of green. While darker shades of green indicate denser vegetation, sparse vegetation has lighter shades. Urban areas are blue and soils have various shades of brown.

Landsat 8 Band Descriptions

Part V - Classification - Utilization of the dzetsaka classification tool:

Base Imagery + Training Polygons for Image Classification